Category: Healthcare

Amazon Web Services, Inc. (AWS) has increased maximum sizing of global references per second (GRefs/s) for Epic on AWS customers.  AWS now supports operational database workloads of up to 42 million GRefs/s.  This represents a 61% GRefs/s increase from the previous AWS GRefs/s sizing announcement.  This step-change in scalability, delivered on the R6in instance, represents […]

Blog guest authored by Shawn Stapleton, PhD, global Data Science and Innovation lead for Philips Properly de-identified electronic health record (EHR) data is imperative to curate data sets for use in creating insights into population health. Being able to automate this incredibly manual and time-consuming process would speed up your health informatics innovations and time-to-market. […]

To our many customers and partners who work in Life Sciences, welcome to 2023, a year that I expect to be the turning point in how data science and machine learning (ML) accelerate development of new life-saving therapies. (I’ll share 2023 thoughts on Healthcare in an upcoming post.) The first reason I’m so optimistic is […]

Blog is guest authored by Dr. André Sander, CTO at ID Berlin and Roland Kopetsch, GM at SectorCon Surgical care is an essential part of healthcare. Yet, the growing volume of surgical procedures is making capacity and delivery of surgical services a major challenge for health systems. Using bio-signal data, advanced sensors and operating room […]

In the era of large volumes of dynamic data, researchers need a platform that will allow them to ingest data, search in near real-time, and visualize data by using dashboards. Utilizing the Amazon OpenSearch Service to store data, conduct near real-time searches, and use the OpenSearch Service dashboard to display data is one option to […]

Every day our digital experiences are highly infused with personalizations. Yet, the patient and clinical experience in healthcare remains mostly unaffected. We’ll show what a modern digital patient experience could look like, in which the patient gets recommended the right doctor or specialist for a particular illness based on the patient’s symptoms. Introduction Despite recent […]

Blog is guest authored by Salim Abdul, Remote Services Product Owner at Siemens Healthineers Ultrasound Large, distributed collections of medical imaging devices like ultrasound systems can be challenging. Securing remote connectivity of the devices, to manage the fleet residing within the hospital, clinic and other locations can help service engineers diagnose and troubleshoot issues—avoiding delays […]

Blog is guest authored by Meen Chul Kim from Children’s Hospital at Philadelphia The ability to quickly and securely share data is a critical success factor for researchers around the world working to find cures for childhood illnesses. Recognizing an opportunity to accelerate this important work, Children’s Hospital of Philadelphia (CHOP) partnered with Amazon HealthLake […]

Identifying sensitive data such as protected health information (PHI) and personally identifiable information (PII) and taking appropriate action to safeguard it, is an important step to achieve Health Insurance Portability and Accountability Act (HIPAA) compliance in the Healthcare and Life Sciences industry vertical. There are a few different options on how to do this on […]

Having ready access to clinical context helps radiologists eliminate assumptions and better apply their skills and expertise in rendering final reports. An automated extraction of relevant clinical context from electronic health records (EHRs) can provide clinical context. A typical imaging workflow involves a patient following up for a recommended procedure prescribed by a provider. For […]